Oct 29, 2024, 2:25 PM
Oct 29, 2024, 6:15 AM

Auquan secures $4.5M to enhance finance automation with AI

Highlights
  • Auquan, an AI innovator based in London, has received $4.5 million to enhance its seed round funding, which now totals $8 million.
  • The company utilizes an AI agent architecture and retrieval augmented generation (RAG) to automate knowledge-intensive financial workflows.
  • This innovative approach allows financial institutions to improve productivity, accelerate decision-making, and manage deep work more efficiently.
Story

Auquan, an artificial intelligence innovator in financial services based in London, has announced the successful closure of an additional $4.5 million in funding for its seed round, raising the total to $8 million. The funding round was led by Peak XV with participation from Neotribe Ventures. This investment will facilitate talent acquisition to tackle intricate challenges within the financial sector as Auquan aims to revolutionize deep, knowledge-intensive workflows using its cutting-edge AI technology. The organization distinguishes itself with its unique retrieval augmented generation (RAG) architecture, designed to streamline deep knowledge workflows by breaking them down into manageable tasks. This approach allows financial services to navigate complex processes, which can involve hundreds of interdependent steps, ultimately resulting in comprehensive analysis and insights in mere minutes. Through processing a vast array of structured and unstructured data sets, Auquan supports various high-level tasks like risk monitoring, due diligence, and investment analysis. Its solution is readily adoptable, catering to common financial workflows and offering customized automation options, demonstrating a swift return on investment. As Auquan expands its market presence, it is already utilized by major financial institutions including UBS and Federated Hermes, who leverage its technology to improve their decision-making capabilities and stay ahead in a competitive landscape.

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